- Location
- Gurugram, Haryana, India
- Job type
- Full-time
Required skills
- Tableau
- Power BI
- business analytics
- Business Intelligence
- business strategies
- compliance
- customer engagement
- data science
- end-to-end
- key performance indicators
- predictive analytics
- predictive model
- propensity models
- SQL
- statistics
About the role
Website:
axismaxlife.com
Job details:
Key Responsibilities:
- Lead the end-to-end business planning process for renewals collections and surrender management verticals.
- Define annual and quarterly plans in alignment with business goals, regulatory requirements, and market dynamics.
- Perform gap analysis and define corrective actions based on forecast vs actual performance
- Build and maintain advanced dashboards and reports (MIS) tracking key performance indicators (KPIs) of Call centre like persistency ratio, surrender rates, lapse ratio, renewal collections, and onboarding exceptions.
- Analyze customer behavior patterns, risk profiles, and policy trends using predictive analytics models to enhance targeting strategies.
- Provide actionable insights to influence strategy and decision-making across collection and retention functions
- Perform root-cause analysis of surrender cases and design data-driven interventions to reduce voluntary surrenders.
- Identify and flag vulnerable or high-risk policy cohorts for early engagement.
- Monitor persistency trends and design focused retention campaigns leveraging propensity models.
- Analyze collections performance at a granular level (product-wise, channel-wise, cohort-wise).
- Recommend strategies to improve agent and customer engagement based on analytics output.
- Support digital initiatives like Autopay win-back models, Humanoid BOT targeting, and customer segmentation models.
- Monitor onboarding workflows for anomalies and deviations, including KYC compliance, policy issuance timelines, and system-generated vs manual exceptions.
- Establish control frameworks to reduce onboarding errors and drive process improvements.
- Collaborate with Operations and Risk teams to mitigate early-stage leakage
Measure of Success:
- Improvement in Persistency Ratio
- Reduction in Surrender Rates (Voluntary & Involuntary)
- Onboarding Exception Ratio
- Accuracy & Timeliness of MIS Reports
- Predictive Model Accuracy & Effectiveness
- Impact of Data-driven Interventions (collections uplift, early warning score models)
- Reduction in manual effort through automation & digital tools
Desired qualifications and experience:
- Postgraduate in Statistics, Business Analytics, Actuarial Science, Finance, or equivalent discipline
- Additional certifications in Data Science, Analytics, or Business Intelligence preferred
- 8–12 years of work experience in Analytics, Business Planning, or Performance Management, ideally in Insurance or BFSI domain
- Proven track record of leading analytics teams to drive business decisions and measurable outcomes
- Experience in working with large datasets and translating complex analytics into simple business narratives
- Strong analytical mindset with expertise in Business Intelligence tools (Power BI, Tableau, Excel, SQL)
- Deep understanding of Life Insurance business, especially renewals, persistency, surrender, and onboarding processes
- Hands-on experience in statistical modeling, predictive analytics, and propensity scoring
- Good knowledge of data governance, process control frameworks, and compliance requirements
- Strong problem-solving aptitude and ability to translate data into actionable business strategies
- Excellent communication and stakeholder management skills
- Exposure to RPA, AI/ML tools, and digital analytics solutions will be an added advantage
- Detail-oriented, structured thinker with the ability to manage multiple projects
Click on Apply to know more.
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